| Name | HLA-F antisense RNA 1 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Long non‐coding RNA HLA-F-AS1 has emerged as an important regulator in several human diseases, particularly in cancer, where its function appears to be highly context-dependent. In colorectal cancer, HLA-F-AS1 is upregulated and acts as a competing endogenous RNA that sponges microRNAs (miR-330-3p and miR-375) to derepress targets such as profilin 1 (PFN1). This interaction enhances cell proliferation, migration, invasion, and epithelial–mesenchymal transition, and even modulates the tumor microenvironment through altered macrophage polarization via extracellular vesicles."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n In glioblastoma, HLA-F-AS1 is highly expressed where it promotes cell migration and invasion, and suppresses apoptosis by sponging the tumor suppressor lncRNA MEG3."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " In triple-negative breast cancer and cutaneous squamous cell carcinoma, HLA-F-AS1 contributes to tumor progression by sequestering miRNAs—such as miR-541-3p in TNBC and miR-17-5p/miR-20b-5p in cSCC—leading to the upregulation of downstream targets including TRABD, CCND1, and E2F1. These actions facilitate cell cycle progression, increase proliferative capacity, and maintain cancer stemness."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": "\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n In a contrasting role, ovarian cancer tissues exhibit downregulated HLA-F-AS1 expression. Restoration of HLA-F-AS1 in ovarian cancer cells attenuates tumor growth by sponging miR-21-3p, which in turn upregulates the tumor suppressor PEG3, thereby inhibiting proliferation and migration."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "6"}]}, {"type": "t", "text": "\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n Additional studies in lung adenocarcinoma have identified HLA-F-AS1 among several dysregulated lncRNAs, suggesting its potential as a diagnostic indicator."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "7"}]}, {"type": "t", "text": " Furthermore, assessment of immune-related gene panels in non-small cell lung cancer has revealed that HLA-F-AS1 expression may serve as a predictive biomarker for response to anti-PD-1 therapy."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "8"}]}, {"type": "t", "text": "\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n Beyond oncogenesis, genetic association studies have implicated variants within or near the HLA-F-AS1 locus in neuropsychiatric and inflammatory conditions, including schizophrenia, bipolar disorder, and Behçet’s disease, underscoring its broader regulatory significance."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "9"}]}, {"type": "t", "text": "\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n In summary, HLA-F-AS1 plays multifaceted roles in disease progression by modulating gene expression through a miRNA sponging mechanism. Its oncogenic or tumor-suppressive effects are highly dependent on the cellular context and tumor type, while its genetic variants may contribute to disease susceptibility beyond cancer.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Yongguo Huang, Hong Sun, Xiang Ma, et al. "}, {"type": "b", "children": [{"type": "t", "text": "HLA-F-AS1/miR-330-3p/PFN1 axis promotes colorectal cancer progression."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Life Sci (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.lfs.2019.117180"}], "href": "https://doi.org/10.1016/j.lfs.2019.117180"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31863778"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31863778"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Jing Zhang, Shiquan Li, Xiaona Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "LncRNA HLA-F-AS1 promotes colorectal cancer metastasis by inducing PFN1 in colorectal cancer-derived extracellular vesicles and mediating macrophage polarization."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cancer Gene Ther (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41417-020-00276-3"}], "href": "https://doi.org/10.1038/s41417-020-00276-3"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33531647"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33531647"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Yanhua Wang, Teng Xie, Huaming Liu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "LncRNA HLA-F-AS1 Enhances the Migration, Invasion and Apoptosis of Glioblastoma Cells by Targeting lncRNA MEG3."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cancer Manag Res (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.2147/CMAR.S322351"}], "href": "https://doi.org/10.2147/CMAR.S322351"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34934358"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34934358"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Di Wu, Hongyao Jia, Zhiru Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "STAT3-induced HLA-F-AS1 promotes cell proliferation and stemness characteristics in triple negative breast cancer cells by upregulating TRABD."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Bioorg Chem (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.bioorg.2021.104722"}], "href": "https://doi.org/10.1016/j.bioorg.2021.104722"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33618253"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33618253"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Yaqin Xu, Yingying Dong, Yunhua Deng, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identifying an lncRNA-Related ceRNA Network to Reveal Novel Targets for a Cutaneous Squamous Cell Carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biology (Basel) (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/biology10050432"}], "href": "https://doi.org/10.3390/biology10050432"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34068010"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34068010"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Wenhong Fang, Yufang Xia "}, {"type": "b", "children": [{"type": "t", "text": "LncRNA HLA-F-AS1 attenuates the ovarian cancer development by targeting miR-21-3p/PEG3 axis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Anticancer Drugs (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1097/CAD.0000000000001288"}], "href": "https://doi.org/10.1097/CAD.0000000000001288"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35276697"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35276697"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Zhiyi Yang, Hongli Li, Zhaoyan Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Microarray expression profile of long non-coding RNAs in human lung adenocarcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Thorac Cancer (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/1759-7714.12845"}], "href": "https://doi.org/10.1111/1759-7714.12845"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30151992"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30151992"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Bolin Chen, Min Yang, Kang Li, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Immune-related genes and gene sets for predicting the response to anti-programmed death 1 therapy in patients with primary or metastatic non-small cell lung cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncol Lett (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/ol.2021.12801"}], "href": "https://doi.org/10.3892/ol.2021.12801"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34084219"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34084219"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Takeo Saito, Kenji Kondo, Yoshimi Iwayama, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Replication and cross-phenotype study based upon schizophrenia GWASs data in the Japanese population: support for association of MHC region with psychosis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Med Genet B Neuropsychiatr Genet (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/ajmg.b.32246"}], "href": "https://doi.org/10.1002/ajmg.b.32246"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24888570"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24888570"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "Travis Hughes, Patrick Coit, Adam Adler, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of multiple independent susceptibility loci in the HLA region in Behçet's disease."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nat Genet (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/ng.2551"}], "href": "https://doi.org/10.1038/ng.2551"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23396137"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23396137"}]}]}]}
|
| NCBI Gene ID | 285830 |
| API | |
| Download Associations | |
| Predicted Functions |
![]() |
| Co-expressed Genes |
![]() |
| Expression in Tissues and Cell Lines |
![]() |
HLA-F-AS1 has 1,581 functional associations with biological entities spanning 5 categories (organism, disease, phenotype or trait, chemical, cell line, cell type or tissue, gene, protein or microRNA) extracted from 23 datasets.
Click the + buttons to view associations for HLA-F-AS1 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of HLA-F-AS1 gene relative to other tissues from the Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles dataset. | |
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray | tissue samples with high or low expression of HLA-F-AS1 gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray dataset. | |
| Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of HLA-F-AS1 gene relative to other tissues from the Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of HLA-F-AS1 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| CCLE Cell Line Gene Expression Profiles | cell lines with high or low expression of HLA-F-AS1 gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of HLA-F-AS1 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of HLA-F-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Diseases dataset. | |
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of HLA-F-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Kinase Perturbations | kinase perturbations changing expression of HLA-F-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Kinase Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of HLA-F-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations | transcription factor perturbations changing expression of HLA-F-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Viral Infections | virus perturbations changing expression of HLA-F-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of HLA-F-AS1 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |
| GTEx Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of HLA-F-AS1 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| GTEx Tissue-Specific Aging Signatures | tissue samples with high or low expression of HLA-F-AS1 gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with HLA-F-AS1 gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with HLA-F-AS1 gene in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset. | |
| HuGE Navigator Gene-Phenotype Associations | phenotypes associated with HLA-F-AS1 gene by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of HLA-F-AS1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles | cell lines with high or low expression of HLA-F-AS1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles dataset. | |
| LINCS L1000 CMAP Chemical Perturbation Consensus Signatures | small molecule perturbations changing expression of HLA-F-AS1 gene from the LINCS L1000 CMAP Chemical Perturbations Consensus Signatures dataset. | |
| LINCS L1000 CMAP CRISPR Knockout Consensus Signatures | gene perturbations changing expression of HLA-F-AS1 gene from the LINCS L1000 CMAP CRISPR Knockout Consensus Signatures dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of HLA-F-AS1 gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset. | |